Skip to main content

Tools I need in every python project

Project description

What is this?

The tools I find myself copying and pasting between every python project.

How do I use this?

pip install blissful_basics

from blissful_basics import print, flatten, to_pure, stringify, stats, product, countdown, large_pickle_save, large_pickle_load, FS, Object

# 
# print helpers
# 
if 1:
    # settings
    print.indent.string = "    "
    
    # recursively indents function calls
    @print.indent.function 
    def my_func(counter=5):
        if counter <= 0: return
        print(f"function call {counter} start")
        my_func(counter-1)
        print(f"function call {counter} done")
    
    
    my_func()
    
    #    function call 5 start
    #        function call 4 start
    #            function call 3 start
    #                function call 2 start
    #                    function call 1 start
    #                    function call 1 done
    #                function call 2 done
    #            function call 3 done
    #        function call 4 done
    #    function call 5 done
    
    
    # simple indent
    with print.indent:
        print("howdy1")
        with print.indent:
            print("howdy2")
        print("howdy3")
    
    #    howdy1
    #        howdy2
    #    howdy3
    
    # also indents stuff from the function
    with print.indent.block("stuff"):
        print("hi")
        my_func()
    
    # stuff
    #     hi
    #        function call 5 start
    #            function call 4 start
    #                function call 3 start
    #                    function call 2 start
    #                        function call 1 start
    #                        function call 1 done
    #                    function call 2 done
    #                function call 3 done
    #            function call 4 done
    #        function call 5 done

# 
# to_pure()
# 
if 1:
    import numpy
    import torch

    to_pure(numpy.array([1,2,3,4,5]))   # [1,2,3,4,5]
    to_pure(torch.tensor([1,2,3,4,5]))  # [1,2,3,4,5] # even if its on a GPU device

# 
# stats
# 
if 1:
    stats([1,2,3,4,5])
    # Object(
    #     max = 5,
    #     min = 1,
    #     range = 4,
    #     count = 5,
    #     sum = 15,
    #     average = 3.0,
    #     stdev = 1.5811388300841898,
    #     median = 3,
    #     q1 = 1.5,
    #     q3 = 4.5,
    #     normalized = (0.0, 0.25, 0.5, 0.75, 1.0),
    # )

# 
# plain object
# 
if 1:
    a = Object(thing=10)
    a.thing # 10
    a.thing = 99
    a.thing # 99

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

blissful_basics-0.2.15.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

blissful_basics-0.2.15-py3-none-any.whl (37.8 kB view details)

Uploaded Python 3

File details

Details for the file blissful_basics-0.2.15.tar.gz.

File metadata

  • Download URL: blissful_basics-0.2.15.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.13

File hashes

Hashes for blissful_basics-0.2.15.tar.gz
Algorithm Hash digest
SHA256 c58a70f641ee1a0f7743fc895e006f7b8fb8ec0829f9628d3bf7c6215671d991
MD5 8d2207c00c6e01b0dae0a7f3d91be542
BLAKE2b-256 9d13967915899000305ddbc6ea8e6db1f3ee10c26d23137795acb55c023a758a

See more details on using hashes here.

File details

Details for the file blissful_basics-0.2.15-py3-none-any.whl.

File metadata

  • Download URL: blissful_basics-0.2.15-py3-none-any.whl
  • Upload date:
  • Size: 37.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.13

File hashes

Hashes for blissful_basics-0.2.15-py3-none-any.whl
Algorithm Hash digest
SHA256 629032bd9c1c58024b6487938f8ceccaf52dcd0b32e170f8ddc57b580560eac2
MD5 1c20e8826435b3f4a5e5c6ff0b06f151
BLAKE2b-256 c1bd53f04275b11c368115f070c6ac392ff4c317c0299175608f1bf83812717d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page